ltx-2.3-22b-dev.safetensors
LTX 2.3 Dev
Full dev model. Flexible and trainable. Recommended 32GB+ VRAM.
Download ltx-2.3-22b-dev.safetensors
Direct HuggingFace download. ~42 GB · Free.
No 32GB GPU? Try ltx-2.3-22b-dev.safetensors online — free generation included
Skip the ~42 GB download and ComfyUI setup. Generate a 5-second video using this exact model in your browser, ~30 seconds.
Will this run on my GPU?
Minimum: 32GB VRAM.
Recommendation: Best for LoRA training and fine-tuning. Supports CFG guidance.
How to use ltx-2.3-22b-dev.safetensors
- Download the file from HuggingFace.
- Place it in ComfyUI/models/checkpoints/ inside your ComfyUI directory.
- Restart ComfyUI (or refresh the model list from the menu).
- Load a compatible workflow — see below.
Compatible official workflows:
- LTX-2.3_T2V_I2V_Single_Stage_Distilled_Full.json— T2V / I2V Single Stage Distilled
- LTX-2.3_T2V_I2V_Two_Stage_Distilled.json— T2V / I2V Two Stage Distilled
- LTX-2.3_ICLoRA_Union_Control_Distilled.json— ICLoRA Union Control
Don't want to run this locally? Try ltx-2.3-22b-dev.safetensors online with a free generation — no GPU, no install, ~30 seconds per clip.
Common issues
ComfyUI doesn't see the file after I downloaded it▼
Make sure the file is in ComfyUI/models/checkpoints/ (not a subfolder). Restart ComfyUI fully — the menu refresh sometimes misses new files. Filename must match exactly: ltx-2.3-22b-dev.safetensors.
CUDA out of memory error when loading the model▼
ltx-2.3-22b-dev.safetensors needs ~32GB VRAM minimum. If you're hitting OOM: • Enable Sequential Offloading in ComfyUI settings • Lower the resolution (512x512 instead of 1280x720) • Reduce frame count (25 frames instead of 97) • Use a smaller variant — see Related models below.
What CFG and step count should I use?▼
The dev (full) model supports CFG guidance. Try CFG=3.5 with 20-30 steps for highest quality. For faster iteration use CFG=2.5 with 15 steps.
Get notified when LTX 2.3 Dev updates
Occasional updates on what's new in LTX 2.3 — new FP8 quants, LoRAs, IC-LoRA releases — with our hands-on verdict on whether they're worth re-downloading. No fixed cadence.
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